Zhen Pang

2.7k total citations · 1 hit paper
43 papers, 2.2k citations indexed

About

Zhen Pang is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Neurology. According to data from OpenAlex, Zhen Pang has authored 43 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cellular and Molecular Neuroscience, 15 papers in Molecular Biology and 8 papers in Neurology. Recurrent topics in Zhen Pang's work include Neuroscience and Neuropharmacology Research (8 papers), Receptor Mechanisms and Signaling (5 papers) and Neuropeptides and Animal Physiology (3 papers). Zhen Pang is often cited by papers focused on Neuroscience and Neuropharmacology Research (8 papers), Receptor Mechanisms and Signaling (5 papers) and Neuropeptides and Animal Physiology (3 papers). Zhen Pang collaborates with scholars based in China, United States and United Kingdom. Zhen Pang's co-authors include James W. Geddes, Robert J. Mark, Kôji Uchida, Mark P. Mattson, James P. Morgan, Dashi Bao, Michael W. Rajala, Andrea R. Nawrocki, Neil B. Ruderman and Myrna E. Trumbauer and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and Nature Neuroscience.

In The Last Decade

Zhen Pang

38 papers receiving 2.1k citations

Hit Papers

Mice Lacking Adiponectin Show Decreased Hepatic Insulin S... 2005 2026 2012 2019 2005 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Zhen Pang China 19 1.1k 747 723 407 204 43 2.2k
Dana S. Hutchinson Australia 33 1.3k 1.2× 1000 1.3× 683 0.9× 318 0.8× 190 0.9× 83 2.8k
Agnès Petit-Paitel France 20 797 0.8× 853 1.1× 462 0.6× 199 0.5× 298 1.5× 38 2.0k
Virve Cavallucci Italy 22 895 0.9× 720 1.0× 668 0.9× 219 0.5× 483 2.4× 28 2.2k
Ding‐I Yang Taiwan 30 1.4k 1.4× 697 0.9× 374 0.5× 277 0.7× 436 2.1× 65 2.5k
Francesc X. Soriano Spain 25 2.5k 2.4× 935 1.3× 858 1.2× 313 0.8× 373 1.8× 41 3.6k
Zhi-Hao Wang China 27 739 0.7× 886 1.2× 483 0.7× 162 0.4× 358 1.8× 52 1.9k
Н. Г. Колосова Russia 32 1.7k 1.7× 1.2k 1.6× 397 0.5× 179 0.4× 370 1.8× 216 3.2k
Kyunghee Byun South Korea 29 1.1k 1.1× 636 0.9× 194 0.3× 236 0.6× 280 1.4× 117 2.8k
Ali Akbar Owji Iran 20 838 0.8× 363 0.5× 461 0.6× 426 1.0× 123 0.6× 41 1.7k
Dong‐Hou Kim South Korea 23 777 0.7× 590 0.8× 272 0.4× 338 0.8× 376 1.8× 54 1.8k

Countries citing papers authored by Zhen Pang

Since Specialization
Citations

This map shows the geographic impact of Zhen Pang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Zhen Pang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhen Pang more than expected).

Fields of papers citing papers by Zhen Pang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhen Pang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Zhen Pang. The network helps show where Zhen Pang may publish in the future.

Co-authorship network of co-authors of Zhen Pang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhen Pang. A scholar is included among the top collaborators of Zhen Pang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zhen Pang. Zhen Pang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Xu, Haoran, et al.. (2025). S100A8 promotes the proliferation, migration and invasion in bladder cancer cells. Journal of Cancer. 16(4). 1066–1077. 1 indexed citations
3.
Pang, Zhen, et al.. (2025). SSVEP-based BCI using ultra-low-frequency and high-frequency peripheral flickers. Journal of Neural Engineering. 22(3). 36032–36032.
4.
Pang, Zhen, Shuai Zhu, Yundong Shen, et al.. (2024). Functional outcomes of different surgical treatments for common peroneal nerve injuries: a retrospective comparative study. BMC Surgery. 24(1). 64–64. 4 indexed citations
5.
Pang, Zhen, Yi‐Ming Chen, Zilong Qiu, et al.. (2022). Crossing nerve transfer drives sensory input–dependent plasticity for motor recovery after brain injury. Science Advances. 8(35). eabn5899–eabn5899. 12 indexed citations
6.
Pang, Zhen, et al.. (2022). Restoring After Central Nervous System Injuries: Neural Mechanisms and Translational Applications of Motor Recovery. Neuroscience Bulletin. 38(12). 1569–1587. 34 indexed citations
7.
Pang, Zhen, et al.. (2021). A Mouse Model of Direct Anastomosis via the Prespinal Route for Crossing Nerve Transfer Surgery. Journal of Visualized Experiments. 1 indexed citations
8.
Wu, Junjun, Zhe Wang, Xuguo Duan, et al.. (2019). Construction of artificial micro-aerobic metabolism for energy- and carbon-efficient synthesis of medium chain fatty acids in Escherichia coli. Metabolic Engineering. 53. 1–13. 42 indexed citations
9.
Pang, Zhen, et al.. (2015). Influence of Regional Difference in Bone Mineral Density on Hip Fracture Site in Elderly Females by Finite Element Analysis. Cell Biochemistry and Biophysics. 73(2). 405–412. 4 indexed citations
10.
Chen, Guoxun & Zhen Pang. (2013). Endocannabinoids and Obesity. Vitamins and hormones. 91. 325–368. 9 indexed citations
11.
Economides, Kyriakos D., et al.. (2013). The CRE luc Bioluminescence Transgenic Mouse Model for Detecting Ligand Activation of GPCRs. SLAS DISCOVERY. 19(2). 232–241. 7 indexed citations
12.
Pang, Zhen, Nancy Wu, Weiguang Zhao, et al.. (2011). The Central Cannabinoid CB1 Receptor Is Required for Diet‐Induced Obesity and Rimonabant's Antiobesity Effects in Mice. Obesity. 19(10). 1923–1934. 33 indexed citations
13.
Sutton, Janette, Amy E. Berson, Xiaosu Wu, et al.. (2009). Involvement of the neurotensin receptor 1 in the behavioral effects of two neurotensin agonists, NT-2 and NT69L: Lack of hypothermic, antinociceptive and antipsychotic actions in receptor knockout mice. European Neuropsychopharmacology. 19(7). 466–475. 29 indexed citations
14.
Bao, Dashi, Zhen Pang, & James P. Morgan. (2005). The structure and proteolytic processing of Cbln1 complexes. Journal of Neurochemistry. 95(3). 618–629. 60 indexed citations
15.
Nawrocki, Andrea R., Michael W. Rajala, Eva Tomás, et al.. (2005). Mice Lacking Adiponectin Show Decreased Hepatic Insulin Sensitivity and Reduced Responsiveness to Peroxisome Proliferator-activated Receptor γ Agonists. Journal of Biological Chemistry. 281(5). 2654–2660. 522 indexed citations breakdown →
16.
Pang, Zhen, Vimala Bondada, Tomoko Sengoku, Robert Siman, & James W. Geddes. (2003). Calpain Facilitates the Neuron Death Induced by 3-Nitropropionic Acid and Contributes to the Necrotic Morphology. Journal of Neuropathology & Experimental Neurology. 62(6). 633–643. 44 indexed citations
18.
Pang, Zhen, Gloria Umberger, & James W. Geddes. (1996). Neuronal Loss and Cytoskeletal Disruption Following Intrahippocampal Administration of the Metabolic Inhibitor Malonate: Lack of Protection by MK‐801. Journal of Neurochemistry. 66(2). 474–484. 20 indexed citations
19.
Fang, Rongxiang, Qun Wang, Zhen Pang, et al.. (1994). Structure of the Nucleocapsid Protein Gene of Rice Yellow Stunt Rhabdovirus. Virology. 204(1). 367–375. 22 indexed citations
20.
Fang, Rongxiang, et al.. (1991). cDNA sequence of a virus-inducible, glycine-rich protein gene from rice. Plant Molecular Biology. 17(6). 1255–1257. 32 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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